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检索条件"主题词=compression algorithms"

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Comparison of Vector Data compression algorithms in Mobile GIS

Comparison of Vector Data Compression Algorithms in Mobile G...

引用

3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT)

作者： Chen, Feixiang Ren, Haiyan Beijing Forestry Univ Sch Informat Sci & Technol Beijing 100083 Peoples R China

ISBN: (纸本)9781424455379

Spatial data compression is particularly important for the development of Mobile GIS. This paper gives a review on vector data compression of Mobile GIS. Firstly, the definition and classification of vector data compression algorithms are introduced. Secondly, the traditional, new and optimal algorithms are analyzed separately, and their principles, research status, strengths and weaknesses are further discussed in detail. In the end, this paper makes an important comparison among Douglas-Peucker algorithm, wavelet-based algorithm and dynamic programming-based algorithm.

关键词： Mobile GIS vector data compression algorithms

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Interference Detection Using Time-Frequency Binary Hypothesis Testing 34

Interference Detection Using Time-Frequency Binary Hypothesi...

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34th IEEE Annual Military Communications Conference (MILCOM) on Leveraging Technology - The Joint Imperative

作者： Marcum, Andrew C. Kim, Joon Young Love, David J. Krogmeier, James V. Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47906 USA Raytheon Co Space & Airborne Syst Ft Wayne IN 46808 USA

ISBN: (纸本)9781509000739

The growth in demand for wireless broadband is increasing the instrumental value of characterizing interference in spectral bands of interest. In particular, detection and classification of interference is an important function for mobile ad hoc network (MANET) nodes to optimize performance. In this paper, we propose interference detection and classification techniques for a network that consists of N distributed nodes and a classification center connected to each node by a robust link. Due to the limited capacity of the network connecting these nodes, each node compresses the observed signal into a binary vector that spans time and frequency and provides the bits to a classification center. In turn, the classification center stitches the compressed signals from all nodes into a single structure with characteristics that are exploited to detect and classify. The Kolmorgorov-Smirnov test is proposed for node compression. Furthermore, bounds on theoretical classification performance from finite blocklength coding theory are defined. Finally, we propose a minimum distance method to perform classification.

关键词： compression algorithms Detectors Interference Mobile ad hoc networks Signal processing Time-frequency analysis

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A High Reliability Design for Space-Borne Large-scale SRAM-Based FPGAs with Low Requirement of Memory Space 5

A High Reliability Design for Space-Borne Large-scale SRAM-B...

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5th International Conference on Information Science and Technology (ICIST)

作者： Zhou, Zhonghua Wang, Kang Wu, Jiapeng Wang, Qunyang Pei, Dongbo Space Star Technol CO Ltd Beijing Peoples R China

ISBN: (纸本)9781479974894

As FPGA is increasingly used by satellitic navigation receivers and many other space-based electronic devices, the influence on SRAM-based FPGA which caused by the robust ability of single event upsets (SEU) has become one of the most important topics for exploiting space-based equipments. Traditional online reconfigure system of SRAM-based FPGA needs both of original bit stream file and mask file, and therefore the memory space is doubled. Focus on this problem, this paper proposed a self-hosting configure management system for SRAM-based FPGA, which is based on compression algorithm. A compress and relevant decompress strategy is used to make full use of PROMs' resources. The double-channel-reload method is used to improve the reliability of the SRAM-based FPGA in space radiation environment. Results of simulation show that, this design can effectively cure the influence from SEU and costs less hardware room.

关键词： memory space Field programmable gate arrays Single event upsets compression algorithms Navigation receivers

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Evaluation of a Hash-Compress-Encrypt Pipeline for Storage System Applications 10

Evaluation of a Hash-Compress-Encrypt Pipeline for Storage S...

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IEEE International Conference on Networking, Architecture and Storage (NAS 2015)

作者： Grawinkel, Matthias Mardaus, Michael Suess, Tim Brinkmann, Andre Johannes Gutenberg Univ Mainz Zentrum Datenverarbeitung Mainz Germany

ISBN: (纸本)9781467378918

Great efforts are made to store data in a secure, reliable, and authentic way in large storage systems. Specialized, system specific clients help to achieve these goals. Nevertheless, often standard tools for hashing, compressing, and encrypting data are arranged in transparent pipelines. We analyze the potential of Unix shell pipelines with several high-speed and high-compression algorithms that can be used to achieve data security, reduction, and authenticity. Furthermore, we compare the pipelines of standard tools against a house made pipeline implemented in C++ and show that there is great potential for performance improvement.

关键词： pipeline Cache Memory System piping performance boost compression algorithms master tool Unix shell potential Data Security

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A Single-level Implementation for a Fast Direct Method of Moments Solver on Electrically Large Scattering Problems using a GPU based Reduced Singular Value Decomposition block LU Factorization

A Single-level Implementation for a Fast Direct Method of Mo...

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USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) Proceedings

作者： Horn, M. Killian, T. Faircloth, D. IERUS Technol Huntsville AL USA

ISBN: (纸本)9781479978175

In recent years there has been considerable advancement in solving large-scale electromagnetic scattering problems using fast direct solve techniques with the traditional Rao-Wilton-Glisson (RWG) Method of Moments (MoM) computational framework, and extensions to Higher Order Basis Functions (HOBF) over curvilinear elements. The direct solve techniques are typically formulated with compression algorithms such as Adaptive-Cross-Approximation (ACA/ACA+). Early attempts for PEC bodies on the CPU (J. Shaeffer, IEEE Trans. Ant. and Prop., vol. 56, no. 8, pp. 2306?313, Aug. 2008) and dielectric composite bodies on both the CPU and GPU (M. A. Horn, T. N. Killian, and D. L. Faircloth, 2014 IEEE Ant. and Prop. Society International Symposium (APSURSI), Memphis, TN, 2014, pp. 1630?631) implemented a Single-level (SL) block clustering scheme in which ACA/ACA+ is used for compression in both the fill and block LU factorization. More recent attempts implement Multi-level (ML) block clustering schemes utilizing hierarchical matrix (H -Matrix) theory (W. Chai and D. Jiao, 2010 IEEE Ant. and Prop. Society International Symposium (APSURSI), Toronto, ON, 2010, pp. 1?). ML schemes rely on the compression preserving properties of the Reduced Singular Value Decomposition (rSVD) and thus do not employ ACA/ACA+ during block LU factorization.

关键词： METHOD OF MOMENTS Lutetium Moment of force factorization BASTION compression algorithms central processing units Singular value decomposition Scheme GRAPPER PICK UP Graphics Processing Unit Fasting INSTITUTE OF ELECTRICAL AND ELECTRONIC ENGINEERS Ants

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Identifying Hierarchical Structures in Sequences on GPU 14

Identifying Hierarchical Structures in Sequences on GPU

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13th IEEE International Symposium on Parallel and Distributed Processing with Applications

作者： Jalan, Prashant Jain, Arihant Kumar Roy, Subhajit Indian Inst Technol Dept Comp Sci & Engn Kanpur Uttar Pradesh India

ISBN: (纸本)9781467379526

Identifying hierarchical structures in sequences is an important problem with applications in lossless data-compression to program profiling. A popular algorithm for identifying hierarchical structures in sequences is the Sequitur algorithm developed by Nevill-Manning and Witten. Sequitur is not just a compression algorithm;it attempts to learn the hierarchical structure of the input sequence as a context-free grammar. However, Sequitur is difficult to parallelize. Inspired by Sequitur, we have developed a new GPU algorithm, that reveals the hierarchical structure in sequences and is also concurrency-friendly. Our algorithm, Pequitur, is built as a series of fast kernels (for intermittent synchronization), where each kernel attempts to minimize inter-thread communication and achieve a good load balance among the GPU threads. As opposed to Sequitur, Pequitur follows a greedy strategy to find good productions, that are productions formed by long and frequent substrings. We have implemented and evaluated our algorithm on the NVIDIA K20c card on random strings drawn from multiple distributions. On our benchmarks, Pequitur achieves an average speedup of more than 3X over an optimized Sequitur implementation with similar compression ratios.

关键词： hierarchical structure Input sequence GRAPPER PICK UP Graphics Processing Unit Sequences algorithms compression algorithms Load balancing Hierarchical compression ratio Seeds

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Parallel Decompression of Seismic Data on GPU Using a Lifting Wavelet Algorithm 20

Parallel Decompression of Seismic Data on GPU Using a Liftin...

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20th SYMPOSIUM ON SIGNAL PROCESSING, IMAGES AND COMPUTER VISION (STSIVA)

作者： Castelar, Jairo A. Angulo, Carlos A. Fajardo, Carlos A. Univ Ind Santander Bucaramanga Bucaramanga Santander Colombia

ISBN: (纸本)9781467394611

Subsurface images are widely used by the oil companies to find oil reservoirs. The construction of these images involves to collect and process a huge amount of seismic data. Generally, the oil companies use compression algorithms to reduce the storage and transmission costs. Currently, the compression process is developed on-site using CPU architectures, whereas the construction of the subsurface images is developed on GPU clusters. For this reason, the decompression process has to be developed on GPU architectures. So, fast and parallel decompression algorithms are required to be implemented on GPUs. We implemented an algorithm that performs the decompression of seismic traces on GPU. The algorithm is based on a 2D Lifting Wavelet Transform. The decompression algorithm was developed in CUDA 6.5 and implemented into a GeForce GTX660 GPU. This algorithm was tested using different data sets supplied by an oil company. Experimental results allowed us to establish how the compression ratio affects the performance of our algorithm. Additionally, we also show how the number of threads per block affects this performance.

关键词： data compression geophysical image processing graphics processing units hydrocarbon reservoirs image coding parallel architectures seismology wavelet transforms 2D lifting wavelet transform CUDA 6.5 GeForce GTX660 GPU compression algorithm oil companies oil reservoir seismic data parallel decompression subsurface image transmission cost reduction Algorithm design and analysis Discrete wavelet transforms Encoding Graphics processing units Image coding Quantization (signal) Graphics Processing Unit image coding compression algorithms Oil industry Algorithm design and analysis discrete wavelet transform hydrocarbon reservoirs Parallel architectures seismology Data compression wavelet transforms Decompression GRAPPER PICK UP OIL RESERVOIR seismic data

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Automatic Emotion Recognition in Compressed Speech Using Acoustic and Non-Linear Features 20

Automatic Emotion Recognition in Compressed Speech Using Aco...

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20th SYMPOSIUM ON SIGNAL PROCESSING, IMAGES AND COMPUTER VISION (STSIVA)

作者： Garcia, N. Vasquez-Correa, J. C. Arias-Londono, J. D. Vargas-Bonilla, J. F. Orozco-Arroyave, J. R. Univ Antioquia UdeA Fac Engn Calle 70 52-21 Medellin Colombia Univ Erlangen Nurnberg Erlangen Germany

ISBN: (纸本)9781467394611

Automatic recognition of emotions in speech has attracted the attention of the research community in recent years. Some of the most relevant proposed applications of it are in call-centers. In these scenarios the speech is distorted by compression algorithms. The effects of such distortion on the performance of systems for automatic recognition of emotions must be assessed. In this study these effects are evaluated independently of any other distortions generated by the communications channel. Several state-of-the-art codecs are used to compress the speech signals of two emotional speech databases. The databases used are the Berlin Database of Emotional Speech and the enterface05. The methodology considers voiced and unvoiced segments of the speech separately. Spectral, cepstral, noise and Non-Linear Dynamics (NLD) measures are used to characterize the segments. Finally, a classifier based on a Gaussian Mixture Model (GMM) is used to identify the emotion. The results indicate that voiced segments are less affected by the compression than unvoiced ones in terms in classification accuracy. They also show that the bandwidth of the analyzed signals is an important factor in the classification results.

关键词： codecs data compression emotion recognition speech coding speech recognition Berlin database of emotional speech Gaussian mixture model acoustic features automatic emotion recognition call-centers compressed speech compression algorithms enterface05 non-linear dynamics non-linear features speech databases speech signals Accuracy Codecs Databases Emotion recognition Frequency measurement Speech Speech recognition codecs emotion recognition Compressed Speech Speech recognition compression algorithms Speech Nonlinear Dynamics frequency measurement speech coding Database Data compression Emotions

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compression algorithms for Audio-Video Streaming

Compression Algorithms for Audio-Video Streaming

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International Conference on Intelligent Systems, Modelling and Simulation (ISMS)

作者： Tarif Riyad Rahman Miftahur Rahman Department of Electrical Engineering and Computer Sciecne EECS North South University Dhaka Bangladesh

ISBN: (纸本)9781424459841;9780769539737

Live audio-video streaming has become popular over the years especially when it comes to communication between people living huge geographical areas apart and at a very cheap rate or even free. However, when it comes to places where bandwidth is low or limited, smooth streaming has become a serious challenge because after all bandwidth is a natural resource and is limited. Therefore, in this paper we present two algorithms or `network streaming codecs' that are designed for compressing live multimedia streams to considerable levels of 25% and 50%.

关键词： compression algorithms Streaming media Bandwidth Image coding Cameras Codecs Java Telecommunication traffic Testing Intelligent systems

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On-board lossless compression of Solar corona images

On-board lossless compression of Solar corona images

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IEEE International Geoscience and Remote Sensing Symposium

作者： Marco Ricci Enrico Magli Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown West Virginia

ISBN: (纸本)9781479979301

The compression algorithm developed for METIS arises from the standard CCSDS 123.0-r-1 [1], a lossless data compressor suitable for multispectral and hyperspectral imagers and sounders. This paper presents an extension of the standard to handle lossless compression specifically tailored to solar corona images. The main contributions of this paper are the following: the adaptation to the radial geometry of solar corona images through a remapping process called "radialization" and the ability to exploit three-dimensional image compression of the standard through the compression of a multi-temporal data cube composed by successive acquisitions. The development of the algorithm took care of many aspects based on the geometry and the nature of the expected acquisitions;this adaptation process leads to a significant increase in compression performance through routines resulting very light from a computational point of view, which is a key aspect for on-board applications.

关键词： lossless compression Solar corona compression algorithms images geometry compression consultative committee for space data systems

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